Big Data Terminology: 16 Key Concepts Everyone Should Understand (Part II)

This is the Part II of my blog series that simply distils the key terminology of Big Data (see Part I here). These are the remaining 16 key concepts that you should understand if you want to learn more about Big Data. Structured data is data that can be arranged neatly into charts and tables consisting of rows, columns or multi-dimensioned matrixes. This is traditionally the way that computers have stored data, and information in this format can be easily and simply processed and mined for insights. Data gathered from machines is often a good example of structured data, where various data points--speed, temperature, rate of failure, RPM, etc.--can be neatly recorded and tabulated for analysis.